ARTÍCULO
TITULO

3D Point Cloud Data in Conveying Information for Local Green Factor Assessment

Kaisa Jaalama    
Heikki Kauhanen    
Aino Keitaanniemi    
Toni Rantanen    
Juho-Pekka Virtanen    
Arttu Julin    
Matti Vaaja    
Matias Ingman    
Marika Ahlavuo and Hannu Hyyppä    

Resumen

The importance of ensuring the adequacy of urban ecosystem services and green infrastructure has been widely highlighted in multidisciplinary research. Meanwhile, the consolidation of cities has been a dominant trend in urban development and has led to the development and implementation of the green factor tool in cities such as Berlin, Melbourne, and Helsinki. In this study, elements of the green factor tool were monitored with laser-scanned and photogrammetrically derived point cloud datasets encompassing a yard in Espoo, Finland. The results show that with the support of 3D point clouds, it is possible to support the monitoring of the local green infrastructure, including elements of smaller size in green areas and yards. However, point clouds generated by distinct means have differing abilities in conveying information on green elements, and canopy covers, for example, might hinder these abilities. Additionally, some green factor elements are more promising for 3D measurement-based monitoring than others, such as those with clear geometrical form. The results encourage the involvement of 3D measuring technologies for monitoring local urban green infrastructure (UGI), also of small scale.

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